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Updated: Jun 25, 2025

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基于生物医学相互作用预测特定子图的图形表示学习

Huaxin Pang, Shikui Wei, Zhuoran Du

    IEEE/ACM transactions on computational biology and bioinformatics
    |May 20, 2024
    PubMed
    概括

    这项研究引入了一个新的图形表示学习框架,MGRS,以改善生物医学相互作用预测. 通过考虑多跳邻居和自适应子图权重,MGRS有效地识别了新的关联和生物标志物.

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